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2008

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Improving image segmentation by gradient vector flow and mean shift

13 years 11 months ago

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The classical gradient vector flow (GVF) method suffers from deficiency in the presence of other significant edges adjacent to the real boundary. In this paper, we propose an impr...

Tangwei Liu, Huiyu Zhou, Faquan Lin, Yusheng Pang,...

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Id	Views	Title	Status

1	356	Improving image segmentation by gradient vector flow and mean shift	claim
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4	246	Automatic medical image annotation in ImageCLEF 2007: Overview, results, and discussion	claim
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10	152	WND-CHARM: Multi-purpose image classification using compound image transforms	claim
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13	142	Highly accurate error-driven method for noun phrase detection	claim
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16	133	Better multiclass classification via a margin-optimized single binary problem	claim
17	132	Confidence based multiple classifier fusion in speaker verification	claim
18	131	Progressive structural analysis for dynamic recognition of on-line handwritten mathematical expressions	claim
19	126	Fourier-based geometric shape prior for snakes	claim
20	124	Matrix-pattern-oriented least squares support vector classifier with AdaBoost	claim
21	124	Modeling human color categorization	claim
22	124	Constructing cylindrical coordinate colour spaces	claim
23	122	Constraints for closest point finding	claim
24	118	A large margin approach for writer independent online handwriting classification	claim
25	118	Bayes Machines for binary classification	claim
26	113	A new normalized method on line-based homography estimation	claim
27	111	On applying linear discriminant analysis for multi-labeled problems	claim
28	108	Discriminative cue integration for medical image annotation	claim
29	103	A study on the relevance criteria for medical images	claim
30	102	The 1.5D sieve algorithm	claim
31	101	Illumination-robust face recognition using ridge regressive bilinear models	claim
32	98	Cross-validation and bootstrapping are unreliable in small sample classification	claim
33	97	Repairing self-confident active-transductive learners using systematic exploration	claim
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41	85	Reliability estimation of a statistical classifier	claim
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43	83	A theoretical comparison of two-class Fisher's and heteroscedastic linear dimensionality reduction schemes	claim
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50	78	A framework and baseline results for the CLEF medical automatic annotation task	claim
51	78	Retrieving scale from quasi-stationary images	claim
52	78	Pattern recognition in interdisciplinary perception and intelligence	claim
53	75	The peaking phenomenon in the presence of feature-selection	claim
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56	67	A Gaussian kernel-based fuzzy c-means algorithm with a spatial bias correction	claim
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59	65	Matching of quasi-periodic time series patterns by exchange of block-sorting signatures	claim
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61	54	On lexicographical ordering in multivariate mathematical morphology	claim
62	53	Selecting features for object detection using an AdaBoost-compatible evaluation function	claim

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